2021-2022 ADSA Virtual Meeting
❤️ THANK YOU TO EVERYONE WHO MADE OUR VIRTUAL MEETING A GREAT SUCCESS! 🎯
About the ADSA Virtual Meeting
The Academic Data Science Alliance Annual Meeting (virtual in 2020 and 2021-22) supports data science practitioners (students, postdocs, staff researchers, and faculty), administrators, and educators to collectively address common issues in research, education and training, program administration, and advocacy for data scientist career paths in higher education. Recognizing that researchers in all fields can contribute to the evolution of data science, the Annual Meeting provides a domain-agnostic venue for presenting new data science research and pedagogy.
New in 2021-2022, we brought you the Data Science Conversations series. This series invites leaders of data science programs, institutes, and schools to share their approaches and challenges to integrating data science on their campuses. By sharing their stories, we hope to provide ideas and guidance to new and emerging data science programs. CHECK OUT THE PLAYLIST ON YOUTUBE.
📰 READ MORE about the schools that participated in the Data Science Conversations series HERE.
Virtual Meeting Videos
Videos of the sessions from the 2021-2022 ADSA Virtual Meeting are now available on our YouTube page. You can find our individual sessions and Data Science Conversations at the link below.
We are grateful for the support of our Sponsors!
Interested in Sponsoring future ADSA Meetings?
We have a number of opportunities available. Check them out!Sponsorship Opportunities
2021 ADSA Annual and Virtual Meeting Planning Committee
Chief of Staff, University of Virginia School of Data Science
Senior Research Scientist, eScience Institute and Physics Department, University of Washington
Visiting Associate Professor & Director of Undergraduate Studies, Center for Data Science, New York University
Executive Director, Midwest Big Data Innovation Hub
Briana Joy Stephenson
Assistant Professor of Biostatistics, Harvard T.H. Chan School of Public Health
ELSI and Policy Director, Native BioData Consortium
Co-Director of Innovate For Health and Data Science Research Lead in Health & Life Sciences at Berkeley Institute for Data Science
Maria Han Veiga
Postdoctoral fellow, Michigan Institute for Data Science
Executive Director, Ken Kennedy Institute at Rice University